eBay TechOvjeren akaunt

@ebaytech

News and updates from eBay's technology teams. For customer service:

San Jose, CA
Vrijeme pridruživanja: rujan 2010.

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  1. Prikvačeni tweet
    29. sij

    Find out which team has what it takes to bring their innovative ideas to life in our new docuseries, debuting next week.

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  2. A recent article introduced our Unified platform called Krylov. Now, learn how Krylov users interact with the platform to build and manage powerful workflows in a pythonic and efficient way:

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  3. 31. sij

    . outlines our rollout of Kubernetes for search. Hear from the team behind the project:

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  4. proslijedio/la je Tweet
    30. sij

    Unstructured data has posed a challenge to since the early 2000s. Thanks to advances in machine learning, that challenge is becoming an opportunity.

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  5. 30. sij

    As we head further into 2020, we're highlighting a selection of key Open Source projects we released in 2019:

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  6. proslijedio/la je Tweet
    28. sij

    eBay had a big year of performance optimization: ~ smaller payloads, smart prefetching & edge-caching had an impact. For every 100ms improvement in search page loading time, they saw a 0.5% increase in Add to Cart count! ⚡️

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  7. 28. sij

    Check out 's case study on our speed initiative and our learnings so far:

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  8. 24. sij

    . shares how we use -powered tools like automatic translation, image recognition and photo cleanup to make buying and selling online easier.

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  9. proslijedio/la je Tweet
    23. sij

    Speed By A Thousand Cuts: In 2019, I led a company-wide initiative to deliver a consistently fast experience for all our users globally. Check out the story behind this journey and the outcomes. 

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  10. proslijedio/la je Tweet
    21. sij

    Currently, runs about 60 production clusters, managing 160,000 pods on 30,000 servers. For eBay's search app, the platform can execute 9.5K QPS, nearly the same throughput as bare metal --

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  11. 23. sij

    Speed By A Thousand Cuts: shares the story behind eBay's mission to deliver a consistently fast ecommerce experience across the globe.

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  12. 22. sij

    ICYMI, here's what some of our technologists predict will shape ecommerce in the upcoming year.

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  13. 17. sij

    WebAssembly 1.0 is now a W3C Recommendation. Learn how experimented with the new official web standard:

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  14. 16. sij

    . chats with 's own about how our innovations in natural language processing and computer vision are working to solve obstacles posed by unstructured data.

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  15. proslijedio/la je Tweet
    15. sij

    In partnership with and , cohosted the MIT Solve Challenge Design Workshop in San Jose, CA, bringing together Bay Area technologists and innovators to brainstorm the most pressing global challenges. Learn more :

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  16. 15. sij

    Model-based analysis enables testing and validation of changes prior to deployment. Find out how the team used this approach to refactor a large business-critical Access Control List. Result: 80% reduction in size and no adverse business impact.

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  17. proslijedio/la je Tweet

    . co-hosted the challenge design workshop, bringing innovators together to brainstorm solutions to issues around sustainability and economic prosperity:

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  18. 10. sij

    Learn how our team built a distributed transaction protocol called GRIT, for distributed ACID (atomicity, consistency, isolation, durability) transactions across microservices with multiple underlying databases:

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  19. 8. sij

    Krylov, our modern, state-of-the-art AI platform that powered our transformation, helps make selling and buying easier for eBay customers:

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  20. 7. sij

    Our team explains how automated testing helps organizations build better software faster, standardize user experiences and maintain code compliance:

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